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Nisa Yulianti Suprahman
Department of Pharmacy, Faculty of Science, Institut Teknologi Sumatera, South Lampung 35365, Indonesia
Biochemistry, Genetics & Molecular Biology Chemistry Health Professions Immunology & microbiology Medicine & Pharmacology

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Optimizing a vaseline–lanolin ointment base for Momordica charantia extract using a simplex lattice design Muh Fajar Fauzi; Sarmoko; Tantri Liris Nareswari; Ahmad Bayu Satriawan; Nisa Yulianti Suprahman; Evi Kurniawaty
Pharmacy Reports Vol. 6 No. 1 (2026): Pharmacy Reports
Publisher : Indonesian Young Scientist Group and UPN Veteran Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51511/pr.126

Abstract

Topical delivery of Momordica charantia (bitter melon) extract is a promising approach for anti-inflammatory and antioxidant therapy, yet the performance of the dosage form depends strongly on the composition of the formulation base. This study aimed to optimize a two-component vaseline–lanolin ointment base for M. charantia extract using a simplex lattice mixture design. Five blends spanning the binary mixture space were prepared and characterized for viscosity, spreadability, adhesiveness, and pH. Polynomial mixture models were fitted to each response, model adequacy was assessed by analysis of variance and lack-of-fit testing, and a multi-response Derringer desirability function was applied to locate a compromise optimum, which was then verified experimentally. Increasing the lanolin proportion generally increased viscosity and adhesiveness but reduced spreadability, whereas higher vaseline fractions improved spreadability while maintaining pH within a skin-compatible range. The models showed good fit and predictive utility, and the selected blend (vaseline:lanolin = 70:30) met all predefined physical criteria, with observed responses showing no significant difference from predicted values. In conclusion, simplex lattice optimization efficiently guided the vaseline–lanolin ratio toward a base with favorable rheological properties, providing a useful and reproducible platform for incorporating M. charantia extract in future efficacy and stability studies.
In silico screening of cucurbitacin variants identifies 11-deoxycucurbitacin I as a candidate ligand for the NACHT domain of NLRP3 Sarmoko; Ahmad Zammi Autadan Hakim; Nisa Yulianti Suprahman; Refsya Azanti Putri; Muhammad Yogi Saputra; Tantri Liris Nareswari; Manami Toriyama
Pharmacy Reports Vol. 6 No. 2 (2026): Pharmacy Reports
Publisher : Indonesian Young Scientist Group and UPN Veteran Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51511/pr.125

Abstract

Chronic inflammation contributes to a wide range of diseases, driving the need for novel anti-inflammatory agents with minimal side effects. The NACHT domain of NLRP3 mediates ATP-dependent inflammasome assembly and represents a validated target for anti-inflammatory therapy. This study aimed to predict and compare the binding interactions of twenty-two cucurbitacin variants against the NACHT domain using molecular docking, following geometry optimization with Density Functional Theory (B3LYP/6-31G(d)). Docking validation reproduced the native ligand pose with an RMSD of 0.87 angstrom. Among all variants tested, 11-deoxycucurbitacin I showed the most favorable predicted binding energy (-7.38 kcal/mol), sharing several interacting residues with the native ligand RM5, including Ala227, Ala228, Pro352, Ile411, Phe575, and Met661, although its predicted affinity remained weaker than that of RM5 (-10.35 kcal/mol). These shared contacts suggest that 11-deoxycucurbitacin I may engage a similar region of the NACHT inhibitor-binding pocket as RM5. In conclusion, 11-deoxycucurbitacin I is identified as the most favorable predicted binder among the cucurbitacin variants tested toward the NACHT domain, representing a candidate warranting further experimental validation.
Co-Authors Ahmad Bayu Satriawan Ahmad Zammi Autadan Hakim Evi Kurniawaty Manami Toriyama Muh Fajar Fauzi Muhammad Yogi Saputra Refsya Azanti Putri Sarmoko Tantri Liris Nareswari